Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise scalable database solutions using AWS technologies.
- Company: Join a well-established UK Financial Services provider in Harrow.
- Benefits: Earn £90,000-£100,000, enjoy hybrid working, enhanced pension, and 25+ days leave.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Lead SQL migrations and build data pipelines to enhance database performance.
- Qualifications: Experience in Data Engineering and familiarity with Financial Services is a plus.
The predicted salary is between 90000 - 100000 £ per year.
Peaple Talent is seeking an experienced Data Engineer to join a well-established UK Financial Services provider in Harrow. The successful candidate will design and optimise scalable database solutions primarily using AWS technologies.
Responsibilities include:
- Leading SQL Server migrations
- Building data pipelines
- Enhancing database performance
The role offers a salary of £90,000-£100,000 with hybrid working, enhanced pension, and 25+ days of annual leave. Prior experience in Financial Services is a plus.
Data Engineer – AWS, SQL, Snowflake | Hybrid London in Harrow employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – AWS, SQL, Snowflake | Hybrid London in Harrow
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector and let them know you're on the hunt for a Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving AWS, SQL, and Snowflake. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing scalable database solutions, as this is key for roles like the one at Peaple Talent.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for jobs that match your skills. Plus, it shows you're serious about landing that Data Engineer position.
We think you need these skills to ace Data Engineer – AWS, SQL, Snowflake | Hybrid London in Harrow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, SQL, and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background in Financial Services can add value to our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've faced in previous roles and how you tackled them. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Peaple Talent
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, SQL, and Snowflake. Brush up on the latest features and best practices for each technology, as you might be asked to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in database design or performance optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Understand Financial Services Context
If you have prior experience in Financial Services, highlight it! If not, do some research on common data challenges in the industry. This will show your interest and understanding of the sector.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.